Philip S. Griffin
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 25
- Mathematical Dynamics and Fractals 6
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- Probability and Risk Models 27
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods 9
- Finance top 5%
- Stochastic processes and financial applications 11
- Applied Mathematics top 10%
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- Insurance, Mortality, Demography, Risk Management 9
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- Bayesian Methods and Mixture Models 5
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- Insurance and Financial Risk Management 4
- Co-authors
- James KuelbsRoss MallerWilliam E. PruittTerry R. McConnellRichard F. BassDavid M. MasonJ. Theodore CoxHarry Kesten
- Journals
- Transactions of the American Mathematical Society (1 paper)The Annals of Probability (12 papers)Probability Theory and Related Fields (5 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Philip S. Griffin
44 papers receiving 443 citations
Peers
Comparison fields: 5 of 35
- Mathematical Physics 290
- Management Science and Operations Research 305
- Statistics and Probability 179
- Finance 215
- Applied Mathematics 53
Countries citing papers authored by Philip S. Griffin
This map shows the geographic impact of Philip S. Griffin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philip S. Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip S. Griffin more than expected).
Fields of papers citing papers by Philip S. Griffin
This network shows the impact of papers produced by Philip S. Griffin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip S. Griffin. The network helps show where Philip S. Griffin may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Philip S. Griffin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 0 | |
| 2 | 2017 | 1 | |
| 3 | 2013 | 12 | |
| 4 | 2011 | 3 | |
| 5 | Path Decomposition of Ruinous Behaviour for a General Lévy Insurance Risk Process | 2011 | 13 |
| 6 | 2011 | 11 | |
| 7 | 2004 | 2 | |
| 8 | 2003 | 1 | |
| 9 | 1996 | 1 | |
| 10 | Conditioned brownian motion in simply connected planar domains | 1993 | 13 |
| 11 | 1993 | 3 | |
| 12 | 1992 | 21 | |
| 13 | 1991 | 1 | |
| 14 | 1991 | 25 | |
| 15 | 1991 | 10 | |
| 16 | 1989 | 66 | |
| 17 | 1988 | 3 | |
| 18 | 1987 | 23 | |
| 19 | 1985 | 8 | |
| 20 | 1983 | 4 |
About Philip S. Griffin
Philip S. Griffin is a scholar working on Mathematical Physics, Management Science and Operations Research and Statistics and Probability, having authored 46 papers that have together received 511 indexed citations. Recurring topics across this work include Probability and Risk Models (27 papers), Stochastic processes and statistical mechanics (25 papers), Stochastic processes and financial applications (11 papers), Insurance, Mortality, Demography, Risk Management (9 papers), Markov Chains and Monte Carlo Methods (9 papers), Mathematical Dynamics and Fractals (6 papers), Bayesian Methods and Mixture Models (5 papers) and Insurance and Financial Risk Management (4 papers). The work is most often cited by research in Mathematical Physics (290 citations), Management Science and Operations Research (305 citations) and Statistics and Probability (179 citations). Philip S. Griffin has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include James Kuelbs, Ross Maller, William E. Pruitt, Terry R. McConnell, Richard F. Bass, David M. Mason, J. Theodore Cox, Harry Kesten, Alberto Gandolfi and Naresh C. Jain. Their work appears in journals such as Transactions of the American Mathematical Society, The Annals of Probability and Probability Theory and Related Fields.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.